IT Career Guides & Free Resources
Expert roadmaps, tutorials, salary guides and interview prep across Data Science, Generative AI, Python, Cloud & Analytics — written by GloryTecks trainers in Hyderabad.
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Flask vs FastAPI vs Django: Which to Choose in 2026
Flask, FastAPI and Django compared on what actually differs: what each includes out of the box, how validation, async and data access work, the same small endpoint written in all three, and which one fits a content site, a JSON API, an ML service or an internal tool.
Python for Automation: A Real-World Project Guide
Most automation scripts work once at a desk and fail quietly a month later. This guide builds one real project, a weekly Excel report from public bike-sharing data, with the parts that let it run unattended: input checks that stop bad data, an output that is never overwritten, a log, and a way to schedule it.
Datetime in Python: Working with Dates and Times
The datetime rules that prevent real bugs: why naive and aware datetimes cannot be compared, how to attach and convert time zones with zoneinfo, parsing ISO strings and custom formats, formatting for people, and why adding one day is not always 24 hours.
Automate Boring Tasks with Python: 10 Scripts
Ten automation scripts built only on Python's standard library: rename files with a preview, find duplicates by content, merge monthly CSV exports, clear out stale downloads, archive logs, check links, pull email addresses from text, and schedule the lot to run on its own.
Python Mini Projects to Build in a Weekend
Weekend projects fail when they are too big to finish by Sunday night. The fix is scoping: a core you can build on Saturday and improvements for Sunday. Three mini projects are scoped that way here, a weather and bike-rental explorer, a safe file organiser and a habit tracker, with each Saturday core built and run.
Python Coding Interview Questions and Patterns
Most Python coding interview questions are one of a handful of patterns in disguise. Seven of them, hash map, sliding window, two pointers, heap, monotonic stack, binary search and interval merging, are solved here on two years of real bike-share data with the standard library, and checked against brute force.